This workflow automates the process of fetching daily news headlines related to specific topics, analyzing them with AI, and sharing summarized insights directly in Slack channels. It begins with a scheduled trigger set to run at customizable intervals, then fetches news articles from NewsAPI based on user-defined parameters such as country, category, and keywords. The articles are optionally limited to the top 10, or left to GPT to prioritize and select the most relevant news. The AI model (OpenAI’s GPT) analyzes the articles to generate concise summaries, tags each as an opportunity, risk, or neutral, and provides a comprehensive trend overview. Finally, the summarized insights are posted automatically to a designated Slack channel, making it an ideal workflow for busy business leaders, marketers, and analysts seeking timely, curated news updates with actionable insights without manual effort. This setup is customizable, allowing modifications to parameters like region, industry focus, and analysis tone, ensuring it can be tailored to various business needs and sectors.
AI-Driven News Summary and Insights for Slack
| Node Count | 11 – 20 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.openAi, code, httpRequest, merge, scheduleTrigger, set, slack, stickyNote |
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